Java Developer

SAIC

5d

About The Position

SAIC is looking for a Java Developer who will be responsible for converting existing PySpark codebases into optimized Java-based Spark applications. This role includes developing, refactoring, and maintaining scalable data processing solutions developed on the Databricks platform (or similar Spark execution environments).
Key Responsibilities:

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Active MBI Clearance
• 5+ years of professional experience in a data engineering or software development role.
• Advanced expertise in: · IRS datasets (IRMF, BMF, IMF) and tax system data structures.
• Java 8+ (experience with functional programming, Streams API, Lambdas).
• Apache Spark (Spark Core, Spark SQL, DataFrame APIs, performance tuning).
• Big data ecosystems (HDFS, Hive, Kafka, S3).
• Working with batch and streaming ETL pipelines for data processing.
• Proficient with Git, Maven/Gradle, and DevOps tools.
• Expertise in debugging Spark transformations and ensuring performance.

Nice To Haves

• Hands-on experience converting PySpark workloads into Java Spark.
• Familiarity with ecosystems such as Databricks, Google Dataproc, or similar.
• Knowledge of Delta Lake or Apache Iceberg.
• Proven experience in big data performance modeling and tuning.

Responsibilities

• Convert existing PySpark applications into equivalent, efficient Java Spark implementations
• Design, develop, and maintain scalable Spark-based data pipelines
• Implement data processing logic using Java 8+ with best practices in OOP and functional programming
• Integrate solutions with IRS datasets including IRMF, BMF, and IMF
• Optimize Spark jobs for performance, maintainability, and cost-efficiency
• Collaborate across development, data engineering, and architecture teams
• Troubleshoot and debug Spark workloads in distributed environments
• Ensure compliance with IRS data handling, security, and governance policies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level